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In this program

Train/validation/test splits
Feature engineering and encoding
Handling missing values
Outliers
Dimensionality reduction: PCA for mining
Class imbalance strategies

Data preparation

Handling missing values

Data mining · STEM / applied

Topic

Handling missing values

Practice by unit: Data preparation

Undergraduate Data mining — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).

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